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Record W2906647356 · doi:10.22114/ajem.v0i0.96

Flight Attendant's Perspective on the Medical Professional's Presence During In-Flight Cardiopulmonary Resuscitation.

2018· article· en· W2906647356 on OpenAlexaboutno aff
Nur Hafizhah Widyaningtyas, Retty Ratnawati, Asti Melani Astari

Bibliographic record

VenuePubMed · 2018
Typearticle
Languageen
FieldMedicine
TopicTravel-related health issues
Canadian institutionsnot available
Fundersnot available
KeywordsCardiopulmonary resuscitationPerspective (graphical)ResuscitationMedicineMedical emergencyEmergency medicineComputer scienceArtificial intelligence

Abstract

fetched live from OpenAlex

About 95% of the two billion airlines passengers suffered from health issues (1). Furthermore, a call center in North Carolina noted that there were 16 in-flight emergency cases for every 1 million airlines passengers (2). Cardiac arrest is one of these cases, which is a cause for mortality for about 1000 people during the flights (3). Cardiopulmonary resuscitation (CPR) can be demonstrated by the medical professionals or trained people such as flight attendants. Commercial flights usually do not have official medical staffs on board. Hence, whenever there are in-flight medical emergency cases, flight attendants should be trained to manage such cases. Flight attendants themselves are laymen who are trained to do basic medical emergency interventions, that is, even if they intervene in such cases, they cannot take an appropriate decision as the medical professionals.\n \n\nDuring in-flight cardiac arrest, the flight attendants are mainly responsible to immediately contact the ground staff and voluntary medical professionals on board; besides, they also have a right to perform CPR (4). Certain airlines such as Air Canada and Scandinavian Airlines have policies related to medical supervision. They apply emergency telemedicine that involves emergency specialists as the commander (5). Furthermore, the specialists will assign some instructions for the flight attendants who manage the in-flight medical emergencies (5). In contrast, in Indonesia, in case of any in-flight medical emergency, the flight attendants would announce on call asking for the presence of any medical professionals on board; however, no official medical professionals are recruited on board by the airlines for any medical casualties or emergency.\n \n\nAttendant expressed that the rescuer had many senses while helping people with in-flight medical emergency like shocked while looking at the victim. Contrary, the rescuer also determined to take her responsibility as a cabin crew by helping the victim. Furthermore, she had to manage her dilemma before doing that.\n \n\nThe flight attendant has already expressed her suggestion on having in-flight medical professionals so that she can focus on her responsibility as a cabin crew. NBAA (2016) declares that commercial airlines are suggested to make policies that involve medical professionals in managing in-flight medical emergency (6). These will make flight attendants feel comfortable in serving the passengers. Consequently, the flight attendant needs medical companionship while performing CPR on board. Hence, in-flight medical emergency management, which is part of prehospital management, can be guaranteed

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.022
Threshold uncertainty score0.072

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0060.002
Scholarly communication0.0030.003
Open science0.0000.003
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0220.003

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.027
GPT teacher head0.310
Teacher spread0.283 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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